EA Data Toolkit

More Uses of the EA Data Toolkit:


• Evaluate EA Data: work closely with it and functional arEA Data Stewards to create methods and procedures for identifying and maintaining critical data elements, periodic review, monitoring, troubleshooting, and resolving Data Quality issues.
  
  

• Coordinate EA Data: work closely with it and functional arEA Data Stewards to create methods and procedures for identifying and maintaining critical data elements, periodic review, monitoring, troubleshooting, and resolving Data Quality issues.
  
  

• Provide EA support services for strategic IT Roadmap, IT Governance, Project Management, Cybersecurity, Data Architecture, application and systems, and it.
  
  

• Confirm your enterprise ensures the EA Organizational Design process leads to a more efficient and effectivE Business and IT Operating model, significantly improved results (profitability, Customer Service, internal operations), and EA resources who are empowered and committed to the integration of business and it.
  
  

• Develop and applies standards and minimal viable architectures through the EA governance model, which is informed by thE Business strategy and Corporate Governance.
  
  

• Ensure your enterprise participates in development and application of standards and minimal viable architectures through the EA governance model, which is informed by thE Business strategy and Corporate Governance.
  
  

• Develop conceptual and logical application / product architectures based on EA reference architecture that enable IT to meet service requirements.
  
  

• Head model and analyze enterprisE Business, applications, and technology environments, and maintain supporting artifacts and ea repository elements and reference models for all aspects of your organizations IT infrastructure.
  
  

• Confirm your design promotes thE Business value of EA as an enabler of Strategy Formulation, and as support for technology and digital innovation, which drive your organizations top and bottom lines.
  
  

• Assure your design develops and applies standards and minimal viable architectures through the EA governance model, which is informed by thE Business strategy and Corporate Governance.
  
  

• Develop EA Data: architecture and build IaaS and PaaS offerings to EA enterprise and Game Development application owners using proprietary and Open Source Cloud Computing solutions.
  
  

• Manage work with Corporate Strategy and EA leadership to evaluate key consumer, technology, and market changes to identify emerging trends and new Growth Drivers for EA.
  
  

• Secure that your organization participates in development and application of standards and minimal viable architectures through the EA governance model, which is informed by thE Business strategy and Corporate Governance.
  
  

• Develop EA Data: model and analyze enterprisE Business, applications, and technology environments, and maintain supporting artifacts and EA repository elements and reference models for all aspects of your organizations IT infrastructure.
  
  

• Confirm your organization ensures the ea Organizational Design process leads to a more efficient and effectivE Business and IT Operating model, significantly improved results (profitability, Customer Service, internal operations), and ea resources who are empowered and committed to the integration of business and it.
  
  

• Collaborate and lead analytical resources to synthesize and analyze data across multiple data sources to inform Multi Channel Marketing team members.
  
  

• Extract, manage and Clean Data from various different platforms.
  
  

• Develop, test and maintain data and/or reporting solutions (data warehouse/mart/stores/Data Lake/reporting/analytics) using tools and Programming Languages.
  
  

• Guide EA Data: clearly convey the key insights or story the data reveals in a visual format that is grouped, summarized, or formatted to be easily understood and actionable.
  
  

• Direct EA Data: act as a liaison and point of contact representing the payment, meter system and data Management Team supporting development of Business Requirements / specifications for system development projects for new /existing systems.
  
  

• Be accountable for creating Back End Web APIs and Data Processing systems.
  
  

• Be accountable for creating fundamental Metadata artifacts (data models, Data Dictionaries, and Data Flow diagrams).
  
  

• Direct EA Data: data catalog work across your organization to build and implement an enterprise wide solution to collect metadata, combined with Data Management and search tools.
  
  

• Manage the execution of Data Stewardship initiatives providing direction for Data Governance and Value Generating activities.
  
  

• Identify and lead the implementation of analytics solutions for quality groups to deliver KPIs related to Supply Chain data and process monitoring.
  
  

• Come manage a creative team of engineers dedicated to designing the hardware technologies that network the leading cloud service Data Centers.
  
  

• Ensure you consult; understand how to apply technologies to solve Big Data problems and to develop innovative Big Data Solutions.
  
  

• Stay abreast of new trends in Digital Marketing and latest Data Science techniques applicable to your marketing goals.
  
  

• Orchestrate EA Data: in collaboration with the marketing and Brand Management, develop and execute a comprehensive, Data Driven Marketing Plan.
  
  

• Ensure you coordinate; understand service interdependencies and lead cross functional teams towards technical solutions for multi tiered systems.
  
  

• Methodize EA Data: own functionality and performance of multiple branded websites across all Development Stages, from new build to maintenance.
  
  


Save time, empower your teams and effectively upgrade your processes with access to this practical EA Data Toolkit and guide. Address common challenges with best-practice templates, step-by-step Work Plans and maturity diagnostics for any EA Data related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated EA Data specific requirements:

STEP 1: Get your bearings

Start with...


• The latest quick edition of the EA Data Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.


Organized in a Data Driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the…


• Example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation


Then find your goals...

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which EA Data improvements can be made.

Examples; 10 of the 999 standard requirements:


1. Who controls the risk?
   
   

2. Is there any way to speed up the process?
   
   

3. How do you measure risk?
   
   

4. How do you assess the EA Data pitfalls that are inherent in implementing it?
   
   

5. How do you foster innovation?
   
   

6. How do you verify performance?
   
   

7. Which EA Data data should be retained?
   
   

8. How do you measure success?
   
   

9. Who controls critical resources?
   
   

10. Who will determine interim and final deadlines?
    
    


Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:


• The workbook is the latest in-depth complete edition of the EA Data book in PDF containing 994 requirements, which criteria correspond to the criteria in...


Your EA Data self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:


• The Self-Assessment Excel Dashboard; with the EA Data Self-Assessment and Scorecard you will develop a clear picture of which EA Data areas need attention, which requirements you should focus on and who will be responsible for them:
  
  


• Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix

• Gives you a professional Dashboard to guide and perform a thorough EA Data Self-Assessment

• Is secure: Ensures offline Data Protection of your Self-Assessment results

• Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next:



STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage EA Data projects with the 62 implementation resources:


• 62 step-by-step EA Data Project Management Form Templates covering over 1500 EA Data project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
   
   

2. Activity Cost Estimates: In which phase of the Acquisition Process cycle does source qualifications reside?
   
   

3. Project Scope Statement: Will all EA Data project issues be unconditionally tracked through the Issue Resolution process?
   
   

4. Closing Process Group: Did the EA Data Project Team have enough people to execute the EA Data Project Plan?
   
   

5. Source Selection Criteria: What are the guidelines regarding award without considerations?
   
   

6. Scope Management Plan: Are Corrective Actions taken when actual results are substantially different from detailed EA Data Project Plan (variances)?
   
   

7. Initiating Process Group: During which stage of Risk planning are risks prioritized based on probability and impact?
   
   

8. Cost Management Plan: Is your organization certified as a supplier, wholesaler, regular dealer, or manufacturer of corresponding products/supplies?
   
   

9. Procurement Audit: Was a formal review of tenders received undertaken?
   
   

10. Activity Cost Estimates: What procedures are put in place regarding bidding and cost comparisons, if any?


 
Step-by-step and complete EA Data Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 EA Data project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 EA Data Project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 EA Data project Scope Statement

• 2.7 Assumption and Constraint Log

• 2.8 Work Breakdown Structure

• 2.9 WBS Dictionary

• 2.10 Schedule Management Plan

• 2.11 Activity List

• 2.12 Activity Attributes

• 2.13 Milestone List

• 2.14 Network Diagram

• 2.15 Activity Resource Requirements

• 2.16 Resource Breakdown Structure

• 2.17 Activity Duration Estimates

• 2.18 Duration Estimating Worksheet

• 2.19 EA Data project Schedule

• 2.20 Cost Management Plan

• 2.21 Activity Cost Estimates

• 2.22 Cost Estimating Worksheet

• 2.23 Cost Baseline

• 2.24 Quality Management Plan

• 2.25 Quality Metrics

• 2.26 Process Improvement Plan

• 2.27 Responsibility Assignment Matrix

• 2.28 Roles and Responsibilities

• 2.29 Human Resource Management Plan

• 2.30 Communications Management Plan

• 2.31 Risk Management Plan

• 2.32 Risk Register

• 2.33 Probability and Impact Assessment

• 2.34 Probability and Impact Matrix

• 2.35 Risk Data Sheet

• 2.36 Procurement Management Plan

• 2.37 Source Selection Criteria

• 2.38 Stakeholder Management Plan

• 2.39 Change Management Plan


3.0 Executing Process Group:


• 3.1 Team Member Status Report

• 3.2 Change Request

• 3.3 Change Log

• 3.4 Decision Log

• 3.5 Quality Audit

• 3.6 Team Directory

• 3.7 Team Operating Agreement

• 3.8 Team Performance Assessment

• 3.9 Team Member Performance Assessment

• 3.10 Issue Log


4.0 Monitoring and Controlling Process Group:


• 4.1 EA Data project Performance Report

• 4.2 Variance Analysis

• 4.3 Earned Value Status

• 4.4 Risk Audit

• 4.5 Contractor Status Report

• 4.6 Formal Acceptance


5.0 Closing Process Group:


• 5.1 Procurement Audit

• 5.2 Contract Close-Out

• 5.3 EA Data project or Phase Close-Out

• 5.4 Lessons Learned


Results

With this Three Step process you will have all the tools you need for any EA Data project with this in-depth EA Data Toolkit.

In using the Toolkit you will be better able to:


• Diagnose EA Data projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices

• Implement evidence-based Best Practice strategies aligned with overall goals

• Integrate recent advances in EA Data and put Process Design strategies into practice according to Best Practice guidelines


Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make EA Data investments work better.

This EA Data All-Inclusive Toolkit enables You to be that person.

Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.